Eric Gold

Papers

Total Citations

127

H-Index

About

Eric Gold’s research lies at the intersection of robotics, computer vision, and automated 3D modeling, with a particular focus on enabling machines to perceive and navigate complex, unstructured environments. His most influential work, the AVENUE project at Columbia University, pioneered automated site modeling in urban environments. The overview paper for this project, which has garnered 85 citations, introduced a complete system for constructing 3D geometric models with photometric texture mapping—a foundational contribution to urban robotics and environmental reconstruction. Gold also made significant advances in mobile robotics architecture, as detailed in his 24-citation paper on the design and control of a mobile site-modeling robot. This work presented a distributed, modular system integrating path planning, localization, sensor fusion, and motion control, with experimental validation on an autonomous platform. Later, Gold contributed to evolutionary robotics with the development of Aracna, an open-source quadruped robot platform. This 18-citation paper introduced a challenging, non-intuitive locomotion problem, providing a valuable testbed for gait learning algorithms in the evolutionary computation community. Through these contributions, Gold has advanced both the theoretical foundations and practical implementations of autonomous robotic systems for real-world modeling and exploration.